
This decomposition subsumes a very broad class of latent variable models such as hierarchical Bayesian regression models [1]}, Bayesian mixture models, additive matrix decomposition models (e.g. factor analysis, PCA, and CCA), and Bayesian nonparametric models. A graphical representation of this general latent variable family of models is shown in Figure REF .
<FIGURE>